Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...
A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Abstract: Achieving high classification accuracy in motor-imagery-based brain–computer interfaces (BCIs) requires substantial amounts of training data. A challenge arises because of the impracticality ...
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